{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "cde6fcae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11])"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.arange(len(months))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "9084c741",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "months = ['1月', '2月', '3月', '4月', '5月', '6月', '7月', '8月', '9月', '10月', '11月', '12月']\n",
    "total_sales1 = [7780,7780,7780,0,0,0,0,0,0,0,0,0]\n",
    "total_sales2 = [0,0,0,8157,8157,8157,0,0,0,0,0,0]\n",
    "total_sales3 = [0,0,0,0,0,0,9673,9673,9673,0,0,0]\n",
    "total_sales4 = [0,0,0,0,0,0,0,0,0,8387,8387,8387]\n",
    "sub_sales_a = [2354, 1902, 2698, 2698, 3156, 3156, 2635, 2635, 2635, 2635, 2635, 2635]\n",
    "\n",
    "x = np.arange(len(months))\n",
    "width = 0.3  # 柱形图的宽度\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(12, 6), facecolor=\"#2D2F41\")\n",
    "ax.bar(x , total_sales1, 3*width+0.1, label='1季度销量', color='skyblue')\n",
    "ax.bar(x , total_sales2, 3*width+0.1, label='2季度销量', color='salmon')\n",
    "ax.bar(x , total_sales3, 3*width+0.1, label='3季度销量', color='lightgreen')\n",
    "ax.bar(x , total_sales4, 3*width+0.1, label='4季度销量', color='purple')\n",
    "ax.bar(x , sub_sales_a, width, label='月度销量', color='#5874DC')\n",
    "\n",
    "ax.set_title('2021年各月化妆品销量趋势', fontsize=16, color=\"white\")\n",
    "ax.set_xlabel('月份', fontsize=12, color=\"white\")\n",
    "ax.set_ylabel('销量', fontsize=12, color=\"white\")\n",
    "ax.set_xticks(x)\n",
    "ax.set_xticklabels(months, color=\"white\")\n",
    "ax.legend(loc='upper right', fontsize=12)\n",
    "\n",
    "ax.set_facecolor(\"#2D2F41\")\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "plt.xticks(color=\"white\")\n",
    "plt.yticks(color=\"white\")\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
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